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| Main Authors: | , , , , |
|---|---|
| Format: | Recurso digital |
| Sprog: | engelsk |
| Udgivet: |
Zenodo
2025
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| Fag: | |
| Online adgang: | https://doi.org/10.5281/zenodo.16901977 |
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Indholdsfortegnelse:
- <h2><em><span lang="EN-US">This project presents an AI-based skin tone detection and color recommendation system that enhances user personalization in cosmetics and fashion.<span> </span>Using Convolutional Neural Networks (CNNs), the system classifies skin tones from facial images and suggests suitable color palettes for makeup, clothing, and skincare.<span> </span>It ensures inclusivity by considering di- verse skin types and aligning recommendations with dermatological standards.<span> </span>As a future enhancement,<span> </span>a<span> </span>Natural<span> </span>Language<span> </span>Processing<span> </span>(NLP)-based<span> </span>chatbot<span> </span>will<span> </span>be<span> </span>integrated<span> </span>to<span> </span>pro- vide real-time, interactive guidance, enabling users to receive personalized beauty advice through conversational interaction, making the system more accessible, user-friendly, and engaging for broader applications.</span></em></h2>